In order to better help researchers with their research data, via the DCC we are building a network of data experts from various departments of the Radboudumc. The aim of this network is to create a learning environment for both researcher and expert. It connects researchers with experts, but also experts with each other. It strengthens us as a knowledge organization, in particular it contributes to the competence and productivity of our researchers.

Dutch healthcare accounts for 7-8% of the total greenhouse gas emissions. In hospitals, at least 20% of this derives from the operating theatre. This includes waste, inhalation gases for anaesthesia, energy for air refreshment and medicine residues in waste water. To change the behaviour of all stakeholders, we assembled a very diverse team to make the operating theatre greener by gaining insight in the biggest polluters. This project aims to fill knowledge gaps but also to provide tools that enhance trust, acceptance and a change in behaviour for the myriad of stakeholders.

Knee osteoarthritis is often difficult to diagnose, especially in people with early or mild symptoms. Improving early diagnosis ideally starts in general practice, the first step for most people with knee pain. The development and introduction of a smartphone-based point-of-care (POC) ultrasound application with artificial intelligence (AI) for early detection of knee osteoarthritis has the potential to address this diagnostic challenge for general practitioners. POC-ultrasound is performed by the general practitioner, so that the diagnosis is immediately known and treatment can start. This affordable AI-driven POC ultrasound device eliminates the observer dependency that characterizes ultrasound and minimizes the training required.

Nanomedicines have the potential to save lives, but their clinical development faces various obstacles. These include a.o. incomplete knowledge about their functioning at the cellular level, lack of standardization in the characterization of nanomedicines, and suboptimal knowledge exchange among the involved parties. NanoMedNL aims to overcome these obstacles by consolidating knowledge and expertise in a virtual center, where researchers, patients, doctors, pharmaceutical industry and regulatory authorities collaborate on the next generation of nanomedicines.

Pandemie management is zeer complex, door sterk interacterende centrale en decentrale besluitvorming. Dit leidt onvermijdelijk tot onzekere gezondheidszorguitkomsten en afname van maatschappelijke veerkracht.. We ontwikkelen adaptief pandemie management om besluitvormers beter met deze onzekerheid en brede sociale domein effecten te leren omgaan met behulp van groepsgewijze modelbouw en pandemie simulaties.